May D. Wang - RankMe

241 papers A* 1B 8C 14Misc 4Journal 70Unranked 143

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI. IEEE Trans. Educ. Micky C. Nnamdi, J. Ben Tamo, Benoit Marteau, Wenqi Shi, May D. Wang
2026	J	`jnl`	Benchmarking LLM Summaries of Multimodal Clinical Time Series for Remote Monitoring. CoRR Aditya Shukla, Yining Yuan, J. Ben Tamo, Yifei Wang, Micky C. Nnamdi, Shaun Tan, Jieru Li, Benoit Marteau, Brad Willingham, May D. Wang
2026	J	`jnl`	EvidenceRL: Reinforcing Evidence Consistency for Trustworthy Language Models. CoRR J. Ben Tamo, Yuxing Lu, Benoit Louis Marteau, Micky C. Nnamdi, May D. Wang
2026	J	`jnl`	KindSleep: Knowledge-Informed Diagnosis of Obstructive Sleep Apnea from Oximetry. CoRR Micky C. Nnamdi, Wenqi Shi, Cheng Wan, J. Ben Tamo, Benjamin M. Smith, Chad Purnell, May D. Wang
2026	J	`jnl`	LLM-as-RNN: A Recurrent Language Model for Memory Updates and Sequence Prediction. CoRR Yuxing Lu, J. Ben Tamo, Weichen Zhao, Nan Sun, Yishan Zhong, Wenqi Shi, Jinzhuo Wang, May D. Wang
2026	J	`jnl`	Monocular Markerless Motion Capture Enables Quantitative Assessment of Upper Extremity Reachable Workspace. CoRR Seth Donahue, J. D. Peiffer, R. Tyler Richardson, Yishan Zhong, Shaun Q. Y. Tan, Benoit Marteau, Stephanie R. Russo, May D. Wang, R. James Cotton, Ross Chafetz
2025	J	`jnl`	Advancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI. CoRR Micky C. Nnamdi, J. Ben Tamo, Wenqi Shi, May D. Wang
2025	J	`jnl`	Advancing Sleep Disorder Diagnostics: A Transformer-Based EEG Model for Sleep Stage Classification and OSA Prediction. IEEE J. Biomed. Health Informatics Cheng Wan, Micky C. Nnamdi, Wenqi Shi, Benjamin M. Smith, Chad Purnell, May D. Wang
2025	J	`jnl`	An AI Implementation Science Study to Improve Trustworthy Data in a Large Healthcare System. CoRR Benoit Louis Marteau, Andrew Hornback, Shaun Q. Y. Tan, Christian Lowson, Jason Woloff, May D. Wang
2025	—	`conf`	Anatomically-constrained Near-eye Gaze Tracking and Movement Classification using Transformer. ICHI Yishan Zhong, Jingyan Xu, Benoit Marteau, Shaun Q. Y. Tan, May D. Wang
2025	—	`conf`	Augmenting Spline Interpolated Dementia EEG Data with Deep Learning for Improved Multi-Centric Data Harmonization. ISBI Matthew Chen, Benoit Marteau, Micky C. Nnamdi, J. Ben Tamo, May D. Wang
2025	J	`jnl`	Causal Machine Learning for Surgical Interventions. CoRR J. Ben Tamo, Nishant S. Chouhan, Micky C. Nnamdi, Yining Yuan, Shreya S. Chivilkar, Wenqi Shi, Steven W. Hwang, B. Randall Brenn, May D. Wang
2025	J	`jnl`	Developing Fairness-Aware Task Decomposition to Improve Equity in Post-Spinal Fusion Complication Prediction. CoRR Yining Yuan, J. Ben Tamo, Wenqi Shi, Yishan Zhong, Micky C. Nnamdi, B. Randall Brenn, Steven W. Hwang, May D. Wang
2025	J	`jnl`	EXR: An Interactive Immersive EHR Visualization in Extended Reality. CoRR Benoit Marteau, Shaun Q. Y. Tan, Jieru Li, Andrew Hornback, Yishan Zhong, Shaunna Wang, Christian Lowson, Jason Woloff, Joshua M. Pahys, Steven W. Hwang, Coleman Hilton, May D. Wang
2025	J	`jnl`	Fairness Artificial Intelligence in Clinical Decision Support: Mitigating Effect of Health Disparity. IEEE J. Biomed. Health Informatics Hang Wu, Yuanda Zhu, Wenqi Shi, Li Tong, May D. Wang
2025	J	`jnl`	Leveraging Evidence-Guided LLMs to Enhance Trustworthy Depression Diagnosis. CoRR Yining Yuan, J. Ben Tamo, Micky C. Nnamdi, Yifei Wang, May D. Wang
2025	J	`jnl`	MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale. CoRR Ran Xu, Yuchen Zhuang, Yishan Zhong, Yue Yu, Xiangru Tang, Hang Wu, May D. Wang, Peifeng Ruan, Donghan Yang, Tao Wang, Guanghua Xiao, Carl Yang, Yang Xie, Wenqi Shi
2025	J	`jnl`	MetaBench: A Multi-task Benchmark for Assessing LLMs in Metabolomics. CoRR Yuxing Lu, Xukai Zhao, J. Ben Tamo, Micky C. Nnamdi, Rui Peng, Shuang Zeng, Xingyu Hu, Jinzhuo Wang, May D. Wang
2025	J	`jnl`	Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation. CoRR Shuang Zeng, Chee Hong Lee, Micky C. Nnamdi, Wenqi Shi, J. Ben Tamo, Lei Zhu, Hangzhou He, Xinliang Zhang, Qian Chen, May D. Wang, Yanye Lu, Qiushi Ren
2025	J	`jnl`	Novel extraction of discriminative fine-grained feature to improve retinal vessel segmentation. Image Vis. Comput. Shuang Zeng, Chee Hong Lee, Micky C. Nnamdi, Wenqi Shi, J. Ben Tamo, Hangzhou He, Xinliang Zhang, Qian Chen, May D. Wang, Lei Zhu, Yanye Lu, Qiushi Ren
2025	—	`conf`	Synthetic H&E Generation from Highly Multiplixed Immunofluorescence Imaging using Deep-Learning. ISBI Oankar R. Patil, Benoit Louis Marteau, Felipe O. Giuste, May D. Wang
2024	J	`jnl`	BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. CoRR Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May D. Wang, Joyce C. Ho, Chao Zhang, Carl Yang
2024	J	`jnl`	Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach. BMC Medical Informatics Decis. Mak. Hang Wu, Wenqi Shi, Anirudh Choudhary, May D. Wang
2024	—	`conf`	Confidence-Calibrated Clinical Decision Support System for Reliable Respiratory Disease Screening. BHI Micky C. Nnamdi, J. Ben Tamo, Wenqi Shi, Vivek K. Chundru, Benoit Marteau, Oankar R. Patil, May D. Wang
2024	J	`jnl`	Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning. BMC Medical Informatics Decis. Mak. Hang Wu, Wenqi Shi, May D. Wang
2024	J	`jnl`	EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. CoRR Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May D. Wang
2024	J	`jnl`	Graph theoretic visualization of patient and health worker messaging in the EHR. Frontiers Artif. Intell. Muhammad Zia Ul Haq, Andrew Hornback, Arash Harzand, David Andrew Gutman, Bradley Gallaher, Evan D. Schoenberg, Yuanda Zhu, May D. Wang, Blake Anderson
2024	—	`conf`	Heterogeneous Treatment Effects of Spinal Fusion Surgery for Adolescent Idiopathic Scoliosis Patients. BCB J. Ben Tamo, Micky C. Nnamdi, Andrew Hornback, Matthew Chen, Wenqi Shi, Yuanda Zhu, Henry J. Iwinski, May D. Wang
2024	—	`conf`	Identifying Features for Keloid Scars Subtyping Using K-Modes Clustering. EMBC Anirudh Jaishankar, Neha Jain, Andrew Hornback, Asma Khimani, Pavithra Avula, May D. Wang
2024	—	`conf`	Improving A Large Healthcare System Research Data Warehouse Using OHDSI's Data Quality Dashboard. BHI Benoit Louis Marteau, Andrew Hornback, Yishan Zhong, Christian Lowson, Jason Woloff, Benjamin M. Smith, Coleman Hilton, May D. Wang
2024	—	`conf`	Interpretable Survival Risk Prediction for High-Grade Glioma Patients via Radiomic Features from Peritumoral Region. EMBC Rohan Dhamdhere, Satvika Bharadwaj, Arpit Aggarwal, Pushkar Mutha, Wenqi Shi, Benoit Marteau, Anant Madabhushi, May D. Wang
2024	J	`jnl`	MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning. CoRR Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Hang Wu, Carl Yang, May D. Wang
2024	—	`conf`	Predicting Cardiovascular Disease Risk in Tobacco Users Using Machine Learning Algorithms. EMBC Asma Khimani, Andrew Hornback, Neha Jain, Pavithra Avula, Anirudh Jaishankar, May D. Wang
2024	—	`conf`	Quantitative Explainability Study of Deformable Convolutional Neural Networks using Chest X-rays. BIBM Vivek K. Chundru, M. Sait Kilinc, Anthony Lim, Micky C. Nnamdi, Yishan Zhong, Wenqi Shi, May D. Wang
2024	J	`jnl`	RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. CoRR Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May D. Wang, Joyce C. Ho, Carl Yang
2024	—	`conf`	Uncovering Key Features of Individuals Who Benefit from Polygenic Risk Scores in Prostate Cancer Prediction. BCB Andrew Hornback, Monica Isgut, Anirudh Jaishankar, Harinishree Sathu, Pavithra Avula, May D. Wang
2023	—	`conf`	Automated Seizure Detection using Transformer Models on Multi-Channel EEGs. BHI Yuanda Zhu, May D. Wang
2023	J	`jnl`	Autonomous Soft Tissue Retraction Using Demonstration-Guided Reinforcement Learning. CoRR Amritpal Singh, Wenqi Shi, May D. Wang
2023	—	`conf`	Concept Bottleneck Model for Adolescent Idiopathic Scoliosis Patient Reported Outcomes Prediction. BHI Micky C. Nnamdi, Wenqi Shi, Junior Ben Tamo, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang
2023	—	`conf`	Development of Interpretable Machine Learning Models for COVID-19 Drug Target Docking Scores Prediction. BIBM Wenqi Shi, Mio Murakoso, Xiaoyan Guo, May D. Wang
2023	—	`conf`	Effective Surrogate Models for Docking Scores Prediction of Candidate Drug Molecules on SARS-CoV-2 Protein Targets. BIBM Wenqi Shi, Mio Murakoso, Xiaoyan Guo, Linxi Xiong, Matthew Chen, May D. Wang
2023	J	`jnl`	Explainable synthetic image generation to improve risk assessment of rare pediatric heart transplant rejection. J. Biomed. Informatics Felipe O. Giuste, Ryan Sequeira, Vikranth Keerthipati, Peter Lais, Ali Mirzazadeh, Arshawn Mohseni, Yuanda Zhu, Wenqi Shi, Benoit Marteau, Yishan Zhong, Li Tong, Bibhuti Das, Bahig M. Shehata, Shriprasad R. Deshpande, May D. Wang
2023	—	`conf`	Identification of Single-Cell RNA Sequencing Molecular Signatures for COVID-19 Infection Severity Classification. BIBM Xinling Li, Cheng Zhang, Wei-An Chen, Wenqi Shi, May D. Wang
2023	—	`conf`	Latent Topic Extraction as a Source of Labeling in Natural Language Processing. BIBM Andrew Hornback, Yuanda Zhu, Monica Isgut, Wenqi Shi, Arjita Nema, Blake J. Anderson, May D. Wang
2023	—	`conf`	Multi-Modal Deep Feature Integration for Alzheimer's Disease Staging. BIBM Amritpal Singh, Wenqi Shi, May D. Wang
2023	J	`jnl`	Novel methods for elucidating modality importance in multimodal electrophysiology classifiers. Frontiers Neuroinformatics Charles A. Ellis, Mohammad S. Eslampanah Sendi, Rongen Zhang, Darwin A. Carbajal, May D. Wang, Robyn L. Miller, Vince D. Calhoun
2023	—	`conf`	Personalized COVID-19 Early Detection Using Wearable Data Based on Self-Reported Records. BIBM Cheng Ding, Jayden Myers, David Lin, Wenqi Shi, May D. Wang, Zewei Lei, Benoit Marteau
2023	—	`ed.`	Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2023, Houston, TX, USA, September 3-6, 2023 BCB May D. Wang, Byung-Jun Yoon
2023	—	`conf`	Rare Heart Transplant Rejection Classification Using Diffusion-Based Synthetic Image Augmentation. BHI Han Bao, Jie Deng, Shihao Xing, Yishan Zhong, Wenqi Shi, Benoit Marteau, Bibhuti Das, Bahig M. Shehata, Shriprasad R. Deshpande, May D. Wang
2023	—	`conf`	Uncertainty-Aware Ensemble Learning Models for Out-of-Distribution Medical Imaging Analysis. BIBM Junior Ben Tamo, Micky C. Nnamdi, Lea Lesbats, Wenqi Shi, Yishan Zhong, May D. Wang
2022	—	`conf`	Accelerating Multi-site Health Informatics with Streamlined Data Infrastructure using OMOP-on-FHIR. EMBC Benoit Marteau, Yuanda Zhu, Felipe O. Giuste, Wenqi Shi, Ashley M. Carpenter, Coleman Hilton, May D. Wang
2022	—	`conf`	Automating Treatment Recommendations for Children with Cerebral Palsy Based on Multi-Modal Clinical Data. BHI Aishwarya Mahale, Yuanda Zhu, Sami Belhareth, Adam Graf, Karen M. Kruger, Joseph Krzak, May D. Wang
2022	—	`conf`	Development of Machine Learning Regression Model for COVID-19 Drug Target Prediction. BIBM Alexandra Zamitalo, Qingtong Xie, Mayar Allam, Phinu Philip, Wenqi Shi, Felipe O. Giuste, Benoit Marteau, Mio Murakoso, May D. Wang
2022	—	`conf`	Development of a generalizable multi-site and multi-modality clinical data cloud infrastructure for pediatric patient care. BCB Andrew Hornback, Wenqi Shi, Felipe O. Giuste, Yuanda Zhu, Ashley M. Carpenter, Coleman Hilton, Vinieth N. Bijanki, Hiram Stahl, Gary S. Gottesman, Chad Purnell, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang
2022	J	`jnl`	Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit. Frontiers Artif. Intell. Yuanda Zhu, Janani Venugopalan, Zhenyu Zhang, Nikhil Chanani, Kevin O. Maher, May D. Wang
2022	—	`conf`	Identification of covid-19 severity and associated genetic biomarkers based on scrna-SEQ data. BCB Aekansh Goel, Zachary Mudge, Sarah Bi, Charles Brenner, Nicholas Huffman, Felipe O. Giuste, Benoit Marteau, Wenqi Shi, May D. Wang
2022	C	`conf`	Multi-Modal Deep Learning Models for Alzheimer's Disease Prediction Using MRI and EHR. BIBE Sathvik S. Prabhu, John A. Berkebile, Neha Rajagopalan, Renjie Yao, Wenqi Shi, Felipe O. Giuste, Yishan Zhong, Jimin Sun, May D. Wang
2022	J	`jnl`	Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics. IEEE J. Biomed. Health Informatics Yuanda Zhu, Ying Sha, Hang Wu, Mai Li, Ryan A. Hoffman, May D. Wang
2022	—	`conf`	Using natural language processing on free-text clinical notes to identify patients with long-term COVID effects. BCB Yuanda Zhu, Aishwarya Mahale, Kourtney Peters, Lejy Mathew, Felipe O. Giuste, Blake J. Anderson, May D. Wang
2021	—	`conf`	A FHIR-compliant Application for Multi-Site and Multi-Modality Pediatric Scoliosis Patient Rehabilitation. BIBM Wenqi Shi, Felipe O. Giuste, Yuanda Zhu, Ashley M. Carpenter, Henry J. Iwinski, Coleman Hilton, J. Michael Wattenbarger, May D. Wang
2021	C	`conf`	A Gradient-based Approach for Explaining Multimodal Deep Learning Classifiers. BIBE Charles A. Ellis, Rongen Zhang, Vince D. Calhoun, Darwin A. Carbajal, Robyn L. Miller, May D. Wang
2021	C	`conf`	A Novel Local Ablation Approach for Explaining Multimodal Classifiers. BIBE Charles A. Ellis, Rongen Zhang, Vince D. Calhoun, Darwin A. Carbajal, Mohammad S. Eslampanah Sendi, May D. Wang, Robyn L. Miller
2021	—	`conf`	An Expansion for Automated Cardiac Anomaly Detection Frameworks with Multimodal Missing Data Imputation. BHI Can F. Usanmaz, Matthew E. White, Marcus Valancius, May D. Wang
2021	J	`jnl`	An Integrated Deep Network for Cancer Survival Prediction Using Omics Data. Frontiers Big Data Hamid Reza Hassanzadeh, May D. Wang
2021	—	`conf`	Automated Risk Assessment of COVID-19 Patients at Diagnosis Using Electronic Healthcare Records. BHI Felipe O. Giuste, Lawrence L. He, Monica Isgut, Wenqi Shi, Blake J. Anderson, May D. Wang
2021	J	`jnl`	COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks. IEEE J. Biomed. Health Informatics Wenqi Shi, Li Tong, Yuanda Zhu, May D. Wang
2021	J	`jnl`	Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review. CoRR Felipe O. Giuste, Wenqi Shi, Yuanda Zhu, Tarun Naren, Monica Isgut, Ying Sha, Li Tong, Mitali S. Gupte, May D. Wang
2021	—	`conf`	Explainable Sleep Stage Classification with Multimodal Electrophysiology Time-series EMBC Charles A. Ellis, Rongen Zhang, Darwin A. Carbajal, Robyn L. Miller, Vince D. Calhoun, May D. Wang
2021	—	`conf`	Improving Heart Transplant Rejection Classification Training using Progressive Generative Adversarial Networks. BHI Ali Mirzazadeh, Arshawn Mohseni, Sahar Ibrahim, Felipe O. Giuste, Yuanda Zhu, Bahig M. Shehata, Shriprasad R. Deshpande, May D. Wang
2021	—	`conf`	Learning from Heterogeneous Data via Contrastive Learning: An Application in Multi-Source COVID-19 Radiography. BHI Wenqi Shi, Mitali S. Gupte, May D. Wang
2021	—	`conf`	Respiratory Markers Significantly Enhance Anxiety Detection Using Multimodal Physiological Sensing. BHI Asim Hossain Gazi, Patrick Lis, Arshawn Mohseni, Christopher Ompi, Felipe O. Giuste, Wenqi Shi, Omer T. Inan, May D. Wang
2020	B	`conf`	An Information Theoretic Learning for Causal Direction Identification. COMPSAC Hang Wu, May D. Wang
2020	—	`conf`	Automated Classification of Acute Rejection from Endomyocardial Biopsies. BCB Felipe O. Giuste, Mythreye Venkatesan, Conan Zhao, Li Tong, Yuanda Zhu, Shriprasad R. Deshpande, May D. Wang
2020	J	`jnl`	Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis. BMC Medical Informatics Decis. Mak. Li Tong, Jonathan Mitchel, Kevin Chatlin, May D. Wang
2020	—	`conf`	EXAM: An Explainable Attention-based Model for COVID-19 Automatic Diagnosis. BCB Wenqi Shi, Li Tong, Yuchen Zhuang, Yuanda Zhu, May D. Wang
2020	B	`conf`	Generating Region of Interests for Invasive Breast Cancer in Histopathological Whole-Slide-Image. COMPSAC Shreyas Malakarjun Patil, Li Tong, May D. Wang
2020	B	`conf`	Graph Convolutional Neural Networks to Classify Whole Slide Images. COMPSAC Roshan Konda, Hang Wu, May D. Wang
2020	Misc	`conf`	Graph Convolutional Neural Networks to Classify Whole Slide Images. ICASSP Roshan Konda, Hang Wu, May D. Wang
2020	J	`jnl`	Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translation. CoRR Yuanda Zhu, Ying Sha, Hang Wu, Mai Li, Ryan A. Hoffman, May D. Wang
2020	B	`conf`	Regularization of Deep Neural Networks for EEG Seizure Detection to Mitigate Overfitting. COMPSAC Mohammed Saqib, Yuanda Zhu, May D. Wang, Brett K. Beaulieu-Jones
2020	—	`conf`	TLSurv: Integrating Multi-Omics Data by Multi-Stage Transfer Learning for Cancer Survival Prediction. BCB Yixing Jiang, Kristen Alford, Frank Ketchum, Li Tong, May D. Wang
2020	B	`conf`	Training Confidence-Calibrated Classifier via Distributionally Robust Learning. COMPSAC Hang Wu, May D. Wang
2019	—	`conf`	A Translational Pipeline for Overall Survival Prediction of Breast Cancer Patients by Decision-Level Integration of Multi-Omics Data. BIBM Jonathan Mitchel, Kevin Chatlin, Li Tong, May D. Wang
2019	J	`jnl`	CAESNet: Convolutional AutoEncoder based Semi-supervised Network for improving multiclass classification of endomicroscopic images. J. Am. Medical Informatics Assoc. Li Tong, Hang Wu, May D. Wang
2019	J	`jnl`	Effects of Sponsorship Disclosure on Perceived Integrity of Biased Recommendation Agents: Psychological Contract Violation and Knowledge-Based Trust Perspectives. Inf. Syst. Res. Weiquan Wang, May D. Wang
2019	—	`conf`	Feature Exploration and Causal Inference on Mortality of Epilepsy Patients Using Insurance Claims Data. BHI Yuanda Zhu, Hang Wu, May D. Wang
2019	—	`conf`	Improved Prediction on Heart Transplant Rejection Using Convolutional Autoencoder and Multiple Instance Learning on Whole-Slide Imaging. BHI Yuanda Zhu, Li Tong, Shriprasad R. Deshpande, May D. Wang
2019	—	`conf`	Improving Classification of Breast Cancer by Utilizing the Image Pyramids of Whole-Slide Imaging and Multi-scale Convolutional Neural Networks. COMPSAC (1) Li Tong, Ying Sha, May D. Wang
2019	—	`conf`	Learning to Evaluate Color Similarity for Histopathology Images using Triplet Networks. BCB Anirudh Choudhary, Hang Wu, Li Tong, May D. Wang
2019	J	`jnl`	Mitigating the Effect of Dataset Bias on Training Deep Models for Chest X-rays. CoRR Yundong Zhang, Hang Wu, Huiye Liu, Li Tong, May D. Wang
2019	J	`jnl`	Novel Data Imputation for Multiple Types of Missing Data in Intensive Care Units. IEEE J. Biomed. Health Informatics Janani Venugopalan, Nikhil Chanani, Kevin O. Maher, May D. Wang
2019	—	`conf`	Tutorial: Causal Inference in Biomedical Data Analytics - Basics and Recent Advances. BCB May D. Wang, Hang Wu
2018	—	`conf`	Early Prediction of Sepsis in EMR Records Using Traditional ML Techniques and Deep Learning LSTM Networks. EMBC Mohammed Saqib, Ying Sha, May D. Wang
2018	J	`jnl`	Effects of Recommendation Neutrality and Sponsorship Disclosure on Trust vs. Distrust in Online Recommendation Agents: Moderating Role of Explanations for Organic Recommendations. Manag. Sci. Weiquan Wang, Jingjun (David) Xu, May D. Wang
2018	—	`conf`	Improving Validity of Cause of Death on Death Certificates. BCB Ryan A. Hoffman, Janani Venugopalan, Li Qu, Hang Wu, May D. Wang
2018	J	`jnl`	Intelligent Mortality Reporting With FHIR. IEEE J. Biomed. Health Informatics Ryan A. Hoffman, Hang Wu, Janani Venugopalan, Paula Braun, May D. Wang
2018	J	`jnl`	LncADeep: an ab initio lncRNA identification and functional annotation tool based on deep learning. Bioinform. Cheng Yang, Longshu Yang, Man Zhou, Haoling Xie, Chengjiu Zhang, May D. Wang, Huaiqiu Zhu
2018	—	`conf`	Micro-Inversions In Human Cancer Genomes. EMBC Li Qu, Huaiqiu Zhu, May D. Wang
2018	—	`conf`	Prediction of heart transplant rejection using histopathological whole-slide imaging. BHI Adrienne E. Dooley, Li Tong, Shriprasad R. Deshpande, May D. Wang
2018	A*	`conf`	Variance Regularized Counterfactual Risk Minimization via Variational Divergence Minimization. ICML Hang Wu, May D. Wang
2017	J	`jnl`	-Omic and Electronic Health Record Big Data Analytics for Precision Medicine. IEEE Trans. Biomed. Eng. Po-Yen Wu, Chihwen Cheng, Chanchala D. Kaddi, Janani Venugopalan, Ryan Hoffman, May D. Wang
2017	—	`conf`	11C-PIB PET image analysis for Alzheimer's diagnosis using weighted voting ensembles. EMBC Wenjun Wu, Janani Venugopalan, May D. Wang
2017	—	`conf`	Asthma Academy: Developing educational technology to improve Asthma medication adherence and intervention efficiency. EMBC Aiswaria S. Nair, Karen DeMuth, Chihwen Cheng, May D. Wang
2017	—	`conf`	Combination of static and temporal data analysis to predict mortality and readmission in the intensive care. EMBC Janani Venugopalan, Nikhil Chanani, Kevin O. Maher, May D. Wang
2017	J	`jnl`	DeepDeath: Learning to Predict the Underlying Cause of Death with Big Data. CoRR Hamid Reza Hassanzadeh, Ying Sha, May D. Wang
2017	—	`conf`	DeepDeath: Learning to predict the underlying cause of death with Big Data. EMBC Hamid Reza Hassanzadeh, Ying Sha, May D. Wang
2017	—	`conf`	Improving multi-class classification for endomicroscopic images by semi-supervised learning. BHI Hang Wu, Li Tong, May D. Wang
2017	—	`conf`	Infer Cause of Death for Population Health Using Convolutional Neural Network. BCB Hang Wu, May D. Wang
2017	—	`conf`	Intelligent mortality reporting with FHIR. BHI Ryan A. Hoffman, Hang Wu, Janani Venugopalan, Paula Braun, May D. Wang
2017	—	`conf`	Interpretable Predictions of Clinical Outcomes with An Attention-based Recurrent Neural Network. BCB Ying Sha, May D. Wang
2017	—	`conf`	Mining standardized neurological signs and symptoms data for concussion identification. BHI Janani Venugopalan, Russell K. Gore, Tamara Espinoza, David W. Wright, Michelle C. LaPlaca, May D. Wang
2017	J	`jnl`	Models for Predicting Stage in Head and Neck Squamous Cell Carcinoma Using Proteomic and Transcriptomic Data. IEEE J. Biomed. Health Informatics Chanchala D. Kaddi, May D. Wang
2017	J	`jnl`	MotifMark: Finding Regulatory Motifs in DNA Sequences. CoRR Hamid Reza Hassanzadeh, Pushkar Kolhe, Charles L. Isbell Jr., May D. Wang
2017	—	`conf`	MotifMark: Finding regulatory motifs in DNA sequences. EMBC Hamid Reza Hassanzadeh, Pushkar Kolhe, Charles L. Isbell Jr., May D. Wang
2017	—	`conf`	Predicting heart rejection using histopathological whole-slide imaging and deep neural network with dropout. BHI Li Tong, Ryan Hoffman, Shriprasad R. Deshpande, May D. Wang
2016	J	`jnl`	A Multi-Modal Graph-Based Semi-Supervised Pipeline for Predicting Cancer Survival. CoRR Hamid Reza Hassanzadeh, John H. Phan, May D. Wang
2016	—	`conf`	A Novel Temporal Similarity Measure for Patients Based on Irregularly Measured Data in Electronic Health Records. BCB Ying Sha, Janani Venugopalan, May D. Wang
2016	—	`conf`	A multi-modal graph-based semi-supervised pipeline for predicting cancer survival. BIBM Hamid Reza Hassanzadeh, John H. Phan, May D. Wang
2016	—	`conf`	Anticoagulation manager: Development of a clinical decision support mobile application for management of anticoagulants. EMBC Chihwen Cheng, Hang Wu, Pamela J. Thompson, Julie R. Taylor, Barbara A. Zehnbauer, Karlyn K. Wilson, May D. Wang
2016	—	`conf`	Automated risk prediction for esophageal optical endomicroscopic images. BHI Sonal Kothari, Hang Wu, Li Tong, Kevin E. Woods, May D. Wang
2016	J	`jnl`	DeeperBind: Enhancing Prediction of Sequence Specificities of DNA Binding Proteins. CoRR Hamid Reza Hassanzadeh, May D. Wang
2016	—	`conf`	DeeperBind: Enhancing prediction of sequence specificities of DNA binding proteins. BIBM Hamid Reza Hassanzadeh, May D. Wang
2016	—	`conf`	Development of user-friendly and interactive data collection system for cerebral palsy. BHI Inez Raharjo, Thomas G. Burns, Janani Venugopalan, May D. Wang
2016	—	`conf`	Evaluating the impact of sequencing error correction for RNA-seq data with ERCC RNA spike-in controls. BHI Li Tong, Cheng Yang, Po-Yen Wu, May D. Wang
2016	J	`jnl`	Guest Editorial: MobiHealth 2014, IEEE HealthCom 2014, and IEEE BHI 2014. IEEE J. Biomed. Health Informatics Metin Akay, Gouenou Coatrieux, Yang Hao, Dimitrios I. Fotiadis, Andrew Laine, Benny P. L. Lo, Konstantina S. Nikita, Norbert Noury, Joel J. P. C. Rodrigues, May D. Wang
2016	—	`conf`	Integration of multi-modal biomedical data to predict cancer grade and patient survival. BHI John H. Phan, Ryan Hoffman, Sonal Kothari, Po-Yen Wu, May D. Wang
2016	—	`conf`	InterVisAR: An Interactive Visualization for Association Rule Search. BCB Chihwen Cheng, Ying Sha, May D. Wang
2016	—	`conf`	Multi-view non-negative tensor factorization as relation learning in healthcare data. EMBC Hang Wu, May D. Wang
2016	—	`conf`	PEPCOR - A risk prediction model for pediatric intensive care units utilizing ventilator days and length of stay. BHI Theruni Pethiyagoda, Nikhil Chanani, Chihwen Cheng, May D. Wang
2016	—	`conf`	Pan-cancer analysis for studying cancer stage using protein and gene expression data. EMBC Sameer Mishra, Chanchala D. Kaddi, May D. Wang
2016	—	`conf`	The selection of quantification pipelines for Illumina RNA-seq data using a subsampling approach. BHI Po-Yen Wu, May D. Wang
2015	J	`jnl`	A Review of Emerging Technologies for the Management of Diabetes Mellitus. IEEE Trans. Biomed. Eng. Konstantia Zarkogianni, Eleni Litsa, Konstantinos Mitsis, Po-Yen Wu, Chanchala D. Kaddi, Chihwen Cheng, May D. Wang, Konstantina S. Nikita
2015	J	`jnl`	A Semi-Supervised Method for Predicting Cancer Survival Using Incomplete Clinical Data. CoRR Hamid Reza Hassanzadeh, John H. Phan, May D. Wang
2015	—	`conf`	A semi-supervised method for predicting cancer survival using incomplete clinical data. EMBC Hamid Reza Hassanzadeh, John H. Phan, May D. Wang
2015	—	`conf`	Biomedical Big Data Analytics for Patient-Centric and Outcome-Driven Precision Health. COMPSAC Workshops May D. Wang
2015	—	`conf`	Detection of blur artifacts in histopathological whole-slide images of endomyocardial biopsies. EMBC Hang Wu, John H. Phan, Ajay K. Bhatia, Caitlin A. Cundiff, Bahig M. Shehata, May D. Wang
2015	—	`conf`	Developing robust predictive models for head and neck cancer across microarray and RNA-seq data. BCB Chanchala D. Kaddi, May D. Wang
2015	—	`conf`	Effect of low-expression gene filtering on detection of differentially expressed genes in RNA-seq data. EMBC Ying Sha, John H. Phan, May D. Wang
2015	J	`jnl`	Guest Editorial EMBC 2014. IEEE J. Biomed. Health Informatics Walter G. Besio, Leslie Ying, Jie Liang, Nigel H. Lovell, Carmen C. Y. Poon, May D. Wang
2015	—	`conf`	Improving personalized clinical risk prediction based on causality-based association rules. BCB Chihwen Cheng, May D. Wang
2015	—	`conf`	Integration of multimodal RNA-seq data for prediction of kidney cancer survival. BIBM Matt Schwartz, Martin Park, John H. Phan, May D. Wang
2015	—	`conf`	Pan-cancer analysis for studying cancer stage using protein expression data. EMBC Sameer Mishra, Chanchala D. Kaddi, May D. Wang
2015	—	`conf`	Post-surgical complication prediction in the presence of low-rank missing data. EMBC Hang Wu, Chihwen Cheng, Xiaoning Han, Yong Huo, Wenhui Ding, May D. Wang
2015	—	`conf`	The impact of RNA-seq aligners on gene expression estimation. BCB Cheng Yang, Po-Yen Wu, Li Tong, John H. Phan, May D. Wang
2014	—	`conf`	Comparison of clustering pipelines for the analysis of mass spectrometry imaging data. EMBC Sanaiya Sarkari, Chanchala D. Kaddi, Rachel V. Bennett, Facundo M. Fernández, May D. Wang
2014	—	`conf`	Comparison of normalization algorithms for cross-batch color segmentation of histopathological images. EMBC Ryan A. Hoffman, Sonal Kothari, May D. Wang
2014	—	`conf`	Evaluation of performance metrics for histopathological image classifier optimization. EMBC Nishant Zachariah, Sonal Kothari, Senthil Ramamurthy, Adeboye O. Osunkoya, May D. Wang
2014	J	`jnl`	Guest Editorial: Computational Solutions to Large-Scale Data Management and Analysis in Translational and Personalized Medicine. IEEE J. Biomed. Health Informatics Manolis Tsiknakis, Vasilis J. Promponas, Norbert M. Graf, May D. Wang, Stephen T. C. Wong, Nikolaos G. Bourbakis, Constantinos S. Pattichis
2014	—	`conf`	Investigation of factors affecting RNA-seq gene expression calls. EMBC Sahar Harati, John H. Phan, May D. Wang
2014	—	`conf`	Models for predicting stage in head and neck squamous cell carcinoma using proteomic data. EMBC Chanchala D. Kaddi, May D. Wang
2014	—	`conf`	MotionTalk: personalized home rehabilitation system for assisting patients with impaired mobility. BCB Janani Venugopalan, Chihwen Cheng, May D. Wang
2014	—	`conf`	Multi-channel LED light source for fluorescent agent aided minimally invasive surgery. EMBC Jiacheng Ren, Janani Venugopalan, Jian Xu, Brad A. Kairdolf, Robert Durfee, May D. Wang
2014	J	`jnl`	Removing Batch Effects From Histopathological Images for Enhanced Cancer Diagnosis. IEEE J. Biomed. Health Informatics Sonal Kothari, John H. Phan, Todd H. Stokes, Adeboye O. Osunkoya, Andrew N. Young, May D. Wang
2014	—	`conf`	Semantic interpretation of robust imaging features for Fuhrman grading of renal carcinoma. EMBC Andrew Champion, Guolan Lu, Marcus Walker, Sonal Kothari, Adeboye O. Osunkoya, May D. Wang
2014	—	`conf`	The impact of RNA-seq alignment pipeline on detection of differentially expressed genes. GlobalSIP Cheng Yang, Po-Yen Wu, John H. Phan, May D. Wang
2014	—	`conf`	icuARM-II: improving the reliability of personalized risk prediction in pediatric intensive care units. BCB Chihwen Cheng, Nikhil Chanani, Kevin O. Maher, May D. Wang
2014	—	`conf`	omniClassifier: a desktop grid computing system for big data prediction modeling. BCB John H. Phan, Sonal Kothari, May D. Wang
2013	J	`jnl`	A fast least-squares algorithm for population inference. BMC Bioinform. R. Mitchell Parry, May D. Wang
2013	—	`conf`	A pilot biomedical engineering course in rapid prototyping for mobile health. EMBC Todd H. Stokes, Janani Venugopalan, Elena N. Hubbard, May D. Wang
2013	—	`conf`	An approach for assessing RNA-seq quantification algorithms in replication studies. GENSiPS Po-Yen Wu, John H. Phan, May D. Wang
2013	J	`jnl`	Assessing the impact of human genome annotation choice on RNA-seq expression estimates. BMC Bioinform. Po-Yen Wu, John H. Phan, May D. Wang
2013	—	`conf`	Benchmarking RNA-Seq quantification tools. EMBC Raghu Chandramohan, Po-Yen Wu, John H. Phan, May D. Wang
2013	J	`jnl`	Biomedical imaging informatics in the era of precision medicine: progress, challenges, and opportunities. J. Am. Medical Informatics Assoc. William Hsu, Mia K. Markey, May D. Wang
2013	—	`conf`	Cloud-based integrative solution for personalized pain management. Wireless Health Janani Venugopalan, Chihwen Cheng, May D. Wang
2013	J	`jnl`	Editorial: Special Issue on Health Informatics and Personalized Medicine. IEEE Trans. Biomed. Eng. Carmen C. Y. Poon, May D. Wang, Paolo Bonato, David A. Fenstermacher
2013	—	`conf`	Exploration of genomic, proteomic, and histopathological image data integration methods for clinical prediction. ChinaSIP Anjaly Poruthoor, John H. Phan, Sonal Kothari, May D. Wang
2013	J	`jnl`	Grand Challenges in Interfacing Engineering With Life Sciences and Medicine. IEEE Trans. Biomed. Eng. Bin He, Richard Baird, Robert J. Butera, Aniruddha Datta, Steven George, Bruce Hecht, Alfred O. Hero III, Gianluca Lazzi, Raphael C. Lee, Jie Liang, Michael R. Neuman, Grace C. Y. Peng, Eric J. Perreault, Melur Ramasubramanian, May D. Wang, John P. Wikswo, Guang-Zhong Yang, Yuan-Ting Zhang
2013	J	`jnl`	Histological image classification using biologically interpretable shape-based features. BMC Medical Imaging Sonal Kothari, John H. Phan, Andrew N. Young, May D. Wang
2013	—	`conf`	Kinect-based rehabilitation system for patients with traumatic brain injury. EMBC Janani Venugopalan, Chihwen Cheng, Todd H. Stokes, May D. Wang
2013	—	`conf`	Mining Association Rules for Neurobehavioral and Motor Disorders in Children Diagnosed with Cerebral Palsy. ICHI Chihwen Cheng, Thomas G. Burns, May D. Wang
2013	J	`jnl`	Multivariate Hypergeometric Similarity Measure. IEEE ACM Trans. Comput. Biol. Bioinform. Chanchala Kaddi, R. Mitchell Parry, May D. Wang
2013	J	`jnl`	Review: Pathology imaging informatics for quantitative analysis of whole-slide images. J. Am. Medical Informatics Assoc. Sonal Kothari, John H. Phan, Todd H. Stokes, May D. Wang
2013	—	`conf`	Systematic Assessment of RNA-Seq Quantification Tools Using Simulated Sequence Data. BCB Raghu Chandramohan, Po-Yen Wu, John H. Phan, May D. Wang
2013	—	`conf`	Unmixing of spectrally similar quantum dots using filter selection. EMBC Elena N. Hubbard, Todd H. Stokes, Brad A. Kairdolf, Jonathan Tran, May D. Wang
2013	—	`conf`	iACT - An interactive mHealth monitoring system to enhance psychotherapy for adolescents with sickle cell disease. EMBC Chihwen Cheng, R. Clark Brown, Lindsey L. Cohen, Janani Venugopalan, Todd H. Stokes, May D. Wang
2012	—	`conf`	Activity and school attendance monitoring system for adolescents with Sickle cell disease. EMBC Janani Venugopalan, Clark Brown, Chihwen Cheng, Todd H. Stokes, May D. Wang
2012	—	`conf`	Biological interpretation of morphological patterns in histopathological whole-slide images. BCB Sonal Kothari, Adeboye O. Osunkoya, John H. Phan, May D. Wang
2012	—	`conf`	Development of a novel 2D color map for interactive segmentation of histological images. ISBI Qaiser Chaudry, Yachna Sharma, Syed Hussain Raza, May D. Wang
2012	—	`conf`	Feasibility of multiplex quantum dot stain using primary antibodies from four distinct host animals. EMBC Jonathan K. Tran, Elena N. Hubbard, Todd H. Stokes, Richard A. Moffitt, May D. Wang
2012	—	`conf`	Improving the flexibility of RNA-Seq data analysis pipelines. GENSiPS John H. Phan, Po-Yen Wu, May D. Wang
2012	—	`conf`	Multivariate hypergeometric similarity measure. BCB Chanchala Kaddi, R. Mitchell Parry, May D. Wang
2012	J	`jnl`	Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities. Briefings Bioinform. Chang F. Quo, Chanchala Kaddi, John H. Phan, Amin Zollanvari, Mingqing Xu, May D. Wang, Gil Alterovitz
2012	—	`conf`	Scale normalization of histopathological images for batch invariant cancer diagnostic models. EMBC Sonal Kothari, John H. Phan, May D. Wang
2012	—	`conf`	SickleREMOTE: A two-way text messaging system for pediatric sickle cell disease patients. BHI Chihwen Cheng, Clark Brown, Tamara New, Todd H. Stokes, Carlton Dampier, May D. Wang
2012	—	`conf`	The effect of human genome annotation complexity on RNA-Seq gene expression quantification. BIBM Workshops Po-Yen Wu, John H. Phan, May D. Wang
2012	J	`jnl`	Win percentage: a novel measure for assessing the suitability of machine classifiers for biological problems. BMC Bioinform. R. Mitchell Parry, John H. Phan, May D. Wang
2011	—	`conf`	A web interface for the quantification of microtubule dynamics. BIBM Workshops Koon Yin Kong, Adam I. Marcus, Paraskevi Giannakakou, May D. Wang
2011	J	`jnl`	Adaptive Control Model Reveals Systematic Feedback and Key Molecules in Metabolic Pathway Regulation. J. Comput. Biol. Chang F. Quo, Richard A. Moffitt, Alfred H. Merrill Jr., May D. Wang
2011	—	`conf`	An Analysis of Scale and Rotation Invariance in the Bag-of-Features Method for Histopathological Image Classification. MICCAI (3) S. Hussain Raza, R. Mitchell Parry, Richard A. Moffitt, Andrew N. Young, May D. Wang
2011	—	`conf`	Automatic batch-invariant color segmentation of histological cancer images. ISBI Sonal Kothari, John H. Phan, Richard A. Moffitt, Todd H. Stokes, Shelby E. Hassberger, Qaiser Chaudry, Andrew N. Young, May D. Wang
2011	—	`conf`	Autonomous point-based registration of prostate gland tissue images. BMEI Alexandre J. Pierrot, Eduardo E. Pujol, Yachna Sharma, May D. Wang
2011	—	`conf`	Biological Interpretation of Model-Reference Adaptive Control in a Mass Action Kinetics Metabolic Pathway Model. BIBM Chang F. Quo, May D. Wang
2011	—	`conf`	Chronic Care Continuum (C mHealthSys@SenSys Todd H. Stokes, Erika S. Poole, Christopher P. Bonafide, Alain B. Labrique, James H. Willig, Chihwen Cheng, May D. Wang
2011	—	`conf`	Evaluation of normalization methods for RNA-Seq gene expression estimation. BIBM Workshops Po-Yen Wu, John H. Phan, Fengfeng Zhou, May D. Wang
2011	—	`conf`	Exploring the feasibility of next-generation sequencing and microarray data meta-analysis. EMBC Po-Yen Wu, John H. Phan, May D. Wang
2011	—	`conf`	Histological Image Feature Mining Reveals Emergent Diagnostic Properties for Renal Cancer. BIBM Sonal Kothari, John H. Phan, Andrew N. Young, May D. Wang
2011	—	`conf`	Hypergeometric Similarity Measure for Spatial Analysis in Tissue Imaging Mass Spectrometry. BIBM Chanchala Kaddi, R. Mitchell Parry, May D. Wang
2011	—	`conf`	SecureMed-ID: memorable and private identifiers for off-site access to medical records. BCB Todd H. Stokes, Richard A. Moffitt, May D. Wang
2011	—	`conf`	Win percentage: a novel measure for assessing the suitability of machine classifiers for biological problems. BCB R. Mitchell Parry, John H. Phan, May D. Wang
2011	J	`jnl`	caCORRECT2: Improving the accuracy and reliability of microarray data in the presence of artifacts. BMC Bioinform. Richard A. Moffitt, Qiqin Yin-Goen, Todd H. Stokes, R. Mitchell Parry, James H. Torrance, John H. Phan, Andrew N. Young, May D. Wang
2011	—	`conf`	caREMOTE: The design of a cancer reporting and monitoring telemedicine system for domestic care. EMBC Chihwen Cheng, Todd H. Stokes, May D. Wang
2010	—	`conf`	A distributed system for fast alignment of next-generation sequencing data. BIBM Workshops Jaydeep K. Srimani, Po-Yen Wu, John H. Phan, May D. Wang
2010	—	`conf`	The Effects of Website Personalization on User Intention to Return through Cognitive Beliefs and Affective Reactions. PACIS May D. Wang, Benjamin P.-C. Yen
2010	—	`conf`	TissueWiki BIBM Workshops Chihwen Cheng, Todd H. Stokes, Sovandy Hang, May D. Wang
2009	—	`conf`	Automated Cell Counting and Cluster Segmentation Using Concavity Detection and Ellipse Fitting Techniques. ISBI Sonal Kothari, Qaiser Chaudry, May D. Wang
2009	J	`jnl`	Automated Renal Cell Carcinoma Subtype Classification Using Morphological, Textural and Wavelets Based Features. J. Signal Process. Syst. Qaiser Chaudry, Syed Hussain Raza, Andrew N. Young, May D. Wang
2009	C	`conf`	Development of a High Resolution 3D Infant Stomach Model for Surgical Planning. CAIP Qaiser Chaudry, S. Hussain Raza, Jeonggyu Lee, Yan Xu, Mark Wulkan, May D. Wang
2009	Misc	`conf`	Improving the Efficiency of Biomarker Identification Using Biological Knowledge. Pacific Symposium on Biocomputing John H. Phan, Qiqin Yin-Goen, Andrew N. Young, May D. Wang
2008	J	`jnl`	ArrayWiki: an enabling technology for sharing public microarray data repositories and meta-analyses. BMC Bioinform. Todd H. Stokes, J. T. Torrance, Henry Li, May D. Wang
2008	—	`conf`	Improving Microarray Sample Size Using Bootstrap Data Combination. IMSCCS John H. Phan, Richard A. Moffitt, Andrea B. Barrett, May D. Wang
2008	C	`conf`	Improving renal cell carcinoma classification by automatic region of interest selection. BIBE Qaiser Chaudry, S. Hussain Raza, Yachna Sharma, Andrew N. Young, May D. Wang
2008	C	`conf`	Matrix factorization techniques for analysis of imaging mass spectrometry data. BIBE Peter W. Siy, Richard A. Moffitt, R. Mitchell Parry, Yanfeng Chen, Ying Liu, M. Cameron Sullards, Alfred H. Merrill, May D. Wang
2008	J	`jnl`	Quantitative analysis of numerical solvers for oscillatory biomolecular system models. BMC Bioinform. Chang F. Quo, May D. Wang
2008	C	`conf`	Using spiral intensity profile to quantify head and neck cancer. BIBE Koon Yin Kong, Yachna Sharma, S. Hussain Raza, Zhuo Chen, Susan Muller, May D. Wang
2007	—	`conf`	An Integrated Image Quantification System for Colorectal Cancer Risk Assessment Using Quantum Dots and Molecular Profiling. ISBI Qaiser Chaudry, Koon Yin Kong, Thomas U. Ahearn, Vaunita Cohen, Roberd M. Bostick, May D. Wang
2007	—	`conf`	ArrayWiki: Liberating Microarray Data from Non-collaborative Public Repositories. IMSCCS Todd H. Stokes, J. T. Torrance, Nolwenn Le Goasduff, Henry Li, May D. Wang
2007	C	`conf`	Bio-Nano-Info Integration for Personalized Medicine. BIBE Eric Jakobsson, May D. Wang, Linda K. Molnar
2007	C	`conf`	Computer Aided Histopathological Classification of Cancer Subtypes. BIBE Sohaib Waheed, Richard A. Moffitt, Qaiser Chaudry, Andrew N. Young, May D. Wang
2007	C	`conf`	Estimating Classification Error to Identify Biomarkers in Time Series Expression Data. BIBE John H. Phan, May D. Wang
2007	C	`conf`	Evolving Biological Behavior in Gene-Based Cellular Simulations. BIBE John H. Phan, Richard A. Moffitt, Todd H. Stokes, May D. Wang
2007	C	`conf`	Microtubule Dynamics Classification Using a Statistical Model of the Movement of Outer Tips. BIBE Christopher Alberti, Jean-Philippe Villaréal, Delano Billingsley, Koon Yin Kong, Adam I. Marcus, Paraskevi Giannakakou, May D. Wang
2007	C	`conf`	Multivariate Analysis of Imaging Mass Spectrometry Data. BIBE E. R. Muir, I. J. Ndiour, N. A. LeGoasduff, Richard A. Moffitt, Ying Liu, M. Cameron Sullards, Alfred H. Merrill, Yanfeng Chen, May D. Wang
2007	—	`conf`	Quantitative Comparison of Numerical Solvers for Models of Oscillatory Biochemical Systems. IMSCCS Chang F. Quo, May D. Wang
2007	—	`conf`	Relational Study of Information Technology and Production Management: - The Case of Closer Economic Partnership Arrangement (CEPA) between Mainland China and Hong Kong. PACIS May D. Wang, Benjamin P.-C. Yen
2007	C	`conf`	Review of Systems Biology Simulation Tools for Translational Research. BIBE Melissa Freedenberg, Chanchala Kaddi, Chang F. Quo, May D. Wang
2007	J	`jnl`	Toward an analytical approach for effective Web site design: A framework for modeling, evaluation and enhancement. Electron. Commer. Res. Appl. Benjamin P.-C. Yen, Paul Jen-Hwa Hu, May D. Wang
2007	—	`conf`	Using Particle Filter to Track and Model Microtubule Dynamics. ICIP (5) Koon Yin Kong, Adam I. Marcus, Paraskevi Giannakakou, May D. Wang
2007	—	`conf`	Web Structure Reorganization to Improve Web Navigation Efficiency. PACIS May D. Wang, Benjamin P.-C. Yen
2006	—	`conf`	Automatic Microtubule Tracking for QD-Based In Vivo Cell Imaging and Drug Efficacy Study. EMBC Koon Yin Kong, Adam I. Marcus, Jin Young Hong, Paraskevi Giannakakou, May D. Wang
2006	—	`conf`	Bio-Nano-Informatics: An Integrated Information Management System for Personalized Oncology. EMBC Todd H. Stokes, John H. Phan, Chang F. Quo, Shuming Nie, May D. Wang
2006	B	`conf`	Ceulular Imaging Data Analysis: Mircotubule Dynamics in Living Cell. ICIP Koon Yin Kong, Adam I. Marcus, Jin Young Hong, Paraskevi Giannakakou, May D. Wang
2006	—	`conf`	Detecting and Quantifying Biomarkers of Risk for Colorectal Cancer Using Quantum Dots and Novel Image Analysis Algorithms. EMBC Roberd M. Bostick, Koon Yin Kong, Thomas U. Ahearn, Qaiser Chaudry, Vaunita Cohen, May D. Wang
2006	—	`conf`	Selecting Clinically-Driven Biomarkers for Cancer Nanotechnology. EMBC John H. Phan, Andrew N. Young, May D. Wang
2005	—	`conf`	Towards Analytical Approach to Effective Website Designs: A Framework for Modeling, Evaluation and Enhancement. PACIS Benjamin P.-C. Yen, Paul Jen-Hwa Hu, May D. Wang
2005	—	`conf`	Towards Effective Web Site Designs: A Framework for Modeling, Design Evaluation and Enhancement. EEE Benjamin P.-C. Yen, Paul Jen-Hwa Hu, May D. Wang
2004	—	`conf`	Development of a Knowledge-Based Multi-Scheme Cancer Microarray Data Analysis System. CSB John H. Phan, Chang F. Quo, Kejiao Guo, Weimin Feng, Geoffrey Wang, May D. Wang
2004	—	`conf`	EGOMinor: A Genomics and Proteomics Data Computation and Interpretation System for Biomedical Applications. CSB Weimin Feng, Gaurav Tuteja, May D. Wang
2004	B	`conf`	High speed processing of biomedical images using programmable gpu. ICIP Jin Young Hong, May D. Wang
2003	Misc	`conf`	Development of A Biomedical Imaging Informatics System for Diagnosis and Treatment Planning. AMIA Geoffrey Wang, May D. Wang
2003	Misc	`conf`	Development of Gene Ontology Tool for Biological Interpretation of Genomic and Proteomic Data. AMIA Weimin Feng, Geoffrey Wang, Barry Zeeberg, Kejiao Guo, Anthony T. Fojo, David W. Kane, William C. Reinhold, Samir Lababidi, John N. Weinstein, May D. Wang
2003	B	`conf`	Volumetric Medical Image Compression and Reconstruction for Interactive Visualization in Surgical Planning. DCC Abhirup Patra, May D. Wang